Triple
T2020491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FATCA Form 8938 |
E44092
|
entity |
| Predicate | firstWidelyUsedTaxYear |
P24583
|
FINISHED |
| Object | 2011 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 2011 | Statement: [FATCA Form 8938, firstWidelyUsedTaxYear, 2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstWidelyUsedTaxYear Context triple: [FATCA Form 8938, firstWidelyUsedTaxYear, 2011]
-
A.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
B.
firstOfficialClaimYear
Indicates the year in which an entity was first officially claimed, recorded, or recognized in an authoritative capacity.
-
C.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
D.
firstYearOfUse
chosen
Indicates the year in which something was first put into use or began being used.
-
E.
firstPermanentBaseYear
Indicates the year in which an entity’s first permanent base or facility was initially established.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a8891201bc8190aca837be6de41579 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb8d0bcbc8190bbbb726ecae1c51b |
completed | March 7, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69abb7a389408190a84a54856352f15b |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:38 p.m.